IRFS: A CQF Scheduling Method Integrating Queue Resources and Flow Features in Time-Sensitive Networking

被引:0
|
作者
Sun, Wenjing [1 ,2 ]
Zou, Yuan [1 ]
Guan, Nan [2 ]
Zhang, Xudong [1 ]
Fan, Jie [1 ]
Meng, Yihao [1 ]
机构
[1] Beijing Inst Technol, Collaborat Innovat Ctr Elect Vehicles Beijing, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
[2] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
关键词
Job shop scheduling; Sorting; Logic gates; Routing; Switches; Scheduling algorithms; Resource management; Time-sensitive networking; cyclic queuing and forwarding; traffic scheduling; resource mapping;
D O I
10.1109/TVT.2024.3414666
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Time-sensitive networking (TSN) has revolutionized Ethernet with real-time and deterministic transmission capabilities, making it one of the most potential solutions for future vehicular and industrial networks. Compared to time-aware shaper (TAS), the cyclic queuing and forwarding (CQF) protocol simplifies the gate control list (GCL) configuration process, reducing the deployment difficulty of TSN in large-scale networks. Much research has proposed incremental scheduling approaches for the CQF. However, existing methods often inadequately consider and insufficiently integrate network and flow characteristics, limiting scheduling performance. This paper introduces a novel CQF scheduling method, IRFS, which integrates queue resources and flow features for efficient searching of scheduling priority, routing path, and start offset. A priority sorting function is proposed that deeply combines network and flow characteristics while considering both spatial and temporal resource allocation. IRFS achieves efficient scheduling and load balancing by constructing combinations of $(flow, path, offset)$, where the elements respectively represent flow features, the spatial distribution, and the temporal distribution of resources. The IRFS is validated in different network scenarios, including simple, complex, and In-Vehicle Networking (IVN) settings. It is compared against other state-of-the-art CQF scheduling algorithm. The IRFS demonstrates superior performance in scheduling success rate, load balancing, and computation time across these scenarios.
引用
收藏
页码:14201 / 14211
页数:11
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